What You'll Be Doing

• Provide hands-on technical leadership for architecture, development, and operation of backend microservices and AI-native platform capabilities.
• Build, deploy, and scale production agents and agentic systems including orchestration, tool use, planning, retrieval, memory, and human-in-the-loop workflows.
• Design reliable integrations with hosted Large Language Models and support open-source and fine-tuned models with routing, fallbacks, and graceful degradation.
• Define and improve evaluation strategies for agent quality, safety, and reliability using various testing and feedback methods.
• Collaborate with platform and ML specialists to scale model serving focusing on availability, throughput, latency, capacity, and cost.
• Build and maintain data and MLOps pipelines for data curation, evaluation, model adaptation, and production deployment.
• Design safeguards against prompt injection, data leakage, unsafe tool use, and cross-tenant access while ensuring auditability and least-privilege access.
• Establish production-readiness standards including SLOs, observability, tracing, testing, release controls, incident response, and operational reviews.
• Use established CrowdStrike tools and services to build cloud security solutions.
• Set technical direction, lead design reviews, and make pragmatic architecture decisions while remaining hands-on with code.
• Collaborate across engineering, product, data science, security research, and operations teams to deliver solutions.
• Mentor engineers and continuously improve product architecture, user experience, performance, and reliability.
• Own work end to end: develop, test, deploy, monitor, and improve your changes.
• Thrive in a collaborative and agile environment focusing on trust, learning, and customer outcomes.

Requirements

• Degree in Computer Science or related field, or equivalent practical experience.
• Hands-on experience building, deploying, and operating LLM-powered agents or agentic systems in production.
• Significant software engineering experience including technical leadership of complex, cross-team initiatives.
• Strong experience with backend microservices, cloud platforms, data-intensive systems, and distributed system concepts like partitioning, concurrency, consistency, fault tolerance, and scaling.
• Experience integrating language models into production software and handling model/provider variability.
• Ability to evaluate and troubleshoot AI systems, focusing on quality, safety, latency, cost, and reliability.
• Strong coding skills in Go, Python, or comparable languages with willingness to work across both.
• Thorough understanding of engineering best practices including testing, peer review, secure design, resilient architecture, and production observability.
• Ability to make sound technical trade-offs, communicate clearly, and influence engineering direction.
• Proven ability to thrive in a test-driven, collaborative, and iterative engineering environment.
• Track record of delivering high-quality, continuously integrated software operated in production.
• Team-first mindset and commitment to mentoring and developing other engineers.
• Proven experience using AI technologies to enhance decision-making, streamline workflows, improve efficiency, and drive business outcomes.

Nice to Haves

• Hands-on experience fine-tuning LLMs including data curation, supervised fine-tuning, and parameter-efficient techniques like LoRA.
• Experience deploying and scaling open-source or fine-tuned LLMs in production with GPU capacity planning, batching, caching, quantization, and inference optimization.
• Experience with preference optimization, reinforcement learning from feedback, or model distillation.
• Exposure to Go, AWS, Cassandra, Kafka, and Elasticsearch.
• Prior experience in cybersecurity or intelligence.
• Contributions to relevant open-source projects, applied research, or technical publications.

Perks and Benefits

• Market leader in compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays for recharge.
• Paid parental and adoption leaves.
• Professional development opportunities for all employees regardless of level or role.
• Employee networks, geographic neighborhood groups, and volunteer opportunities to build connections.
• Vibrant office culture with world-class amenities.
• Great Place to Work Certified™ across the globe.